Latest AI and machine learning research in sepsis for healthcare professionals.
Exploring the time-resolved dynamics of neurochemicals is essential for deciphering neuronal functio...
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and wh...
Early diagnosis of bloodstream infection (BSI) is crucial for informed antibiotic use. This study de...
Differential equations-based epidemiological compartmental systems and deep neural networks-based ar...
It is evident that a robust immune system keeps Candida albicans infection in check, but weakened im...
Despite several years passing since the COVID-19 pandemic was declared, challenges remain in underst...
Long COVID (LC) following SARS-CoV-2 infection affects millions of individuals world-wide and manife...
UNLABELLED: The accumulation of RNA Polymerase III (Pol III) transcribed short interspersed nuclear ...
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthc...
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...
Despite decades of research and disease burden, RSV remains the most common cause of acute lower res...
The rapid and accurate identification of antibiotics in environmental samples is critical for addres...
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and van...
Clustering patient subgroups is essential for personalized care and efficient resource use. Tradit...
BACKGROUND: Urinary tract infection (UTI) is a common bacterial infection in the pediatric populatio...
Genomes and proteomes constitute a rich reservoir of molecular diversity. However, they have remaine...
BACKGROUND: Persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection differ...
BACKGROUND: Early identification of children at risk of sepsis in emergency departments (EDs) is cru...
BACKGROUND: Bloodstream Infection (BSI) is a severe systemic infectious disease that can lead to sep...
We aimed to develop machine learning(ML) algorithms to evaluate complications of flexible ureterosco...
To develop scanning electron microscopy-based Trainable Weka (Waikato Environment for Knowledge Ana...